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Aging, health expenditure, proximity to death, and income in Finland

Published online by Cambridge University Press:  01 April 2008

UNTO HÄKKINEN*
Affiliation:
Centre for Health Economics at STAKES, Helsinki, Finland
PEKKA MARTIKAINEN
Affiliation:
Helsinki Collegium for Advanced Studies, and Population Research Unit, Department of Sociology, University of Helsinki, Finland
ANJA NORO
Affiliation:
Centre for Health Economics at STAKES, Helsinki, Finland
ELINA NIHTILÄ
Affiliation:
Population Research Unit, Department of Sociology University of Helsinki, Finland
MIKKO PELTOLA
Affiliation:
Centre for Health Economics at STAKES, Helsinki, Finland
*
*Corresponding author: Professor Unto Häkkinen, Centre for Health Economics at STAKES (CHESS) P.O.Box 220, Lintulahdenkuja 4,00530, Helsinki, Finland. Email: unto.hakkinen@stakes.fi

Abstract

This study revisits the debate on the ‘red herring’, i.e. the claim that population aging will not have a significant impact on health care expenditure (HCE), using a Finnish data set. We decompose HCE into several components and include both survivors and deceased individuals into the analyses. We also compare the predictions of health expenditure based on a model that takes into account the proximity to death with the predictions of a naïve model, which includes only age and gender and their interactions. We extend our analysis to include income as an explanatory variable. According to our results, total expenditure on health care and care of elderly people increases with age but the relationship is not as clear as is usually assumed when a naïve model is used in health expenditure projections. Among individuals not in long-term care, we found a clear positive relationship between expenditure and age only for health centre and psychiatric inpatient care. In somatic care and prescribed drugs, the expenditure clearly decreased with age among deceased individuals. Our results emphasize that even in the future, health care expenditure might be driven more by changes in the propensity to move into long-term care and medical technology than age and gender alone, as often claimed in public discussion. We do not find any strong positive associations between income and expenditure for most non-LTC categories of health care utilization. Income was positively related to expenditure on prescribed medicines, in which cost-sharing between the state and the individual is relatively high. Overall, our results indicate that the future expenditure is more likely to be determined by health policy actions than inevitable trends in the demographic composition of the population.

Type
Articles
Copyright
Copyright © Cambridge University Press 2008

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References

Breyer, F. and Felder, S.(2006), ‘Life expectancy and health care expenditures: a new calculations using the cost of dying’, Health policy, 75:178186.CrossRefGoogle Scholar
Economic Policy Committee and European Commission (2006), ‘The impact of aging on pubic policy for 25EU Member states on pensions, health care, long term-care, education and unemployment transfers (2004–2050)’, Special reports no 1/2006.Google Scholar
Hetemaa, T., Keskimäki, I., Manderbacka, , and Koskinen, S. (2003), ‘How did the recent increase in the supply of coronary operations in Finland affect socioeconomic and gender equity in their use?', Journal Epidemiol Community Health, 57: 178185.CrossRefGoogle ScholarPubMed
Hujanen, T. (2003), ‘Terveydenhuollon yksikkökustannukset Suomessa vuonna 2001’, Stakes Aiheita, 1/2003.Google Scholar
Hujanen, T., Pekurinen, M., and Häkkinen, U. (2006), ‘Terveydenhuollon ja vanhustenhuollon alueellinen tarve ja menot 1993–2004’, Stakes työpapereitta, 11/2006.Google Scholar
Järvelin, J., Linna, M., and Häkkinen, U. (2003), ‘The hospital benchmarking project: productivity information for hospital comparison', Dialogi, (1B): 2228.Google Scholar
Junnila, M.(ed.) (2004), ‘Sairaaloiden tuottavuus: benchmarking-tietojen käyttö erikoissairaanhoidon toiminnan suunnittelussa, seurannassa ja arvioinnissa’, Stakes raportteja, 280.Google Scholar
Keskimäki, I. (2003), ‘How did Finland's economic recession in the early 1990s affect socio-economic equity in the use of hospital care', Social Science and Medicine, 65:15171530.CrossRefGoogle Scholar
Manning, W.G. (1998), ‘The logged dependent variable, heteroscedasticity and retransformation problem', Journal of Health Economics, 17:283295.CrossRefGoogle ScholarPubMed
Manning, W.G., and Mullahy, J. (2001), ‘Estimating log models: to transform or not to transform?', Journal of Health Economics, 20:461494.CrossRefGoogle ScholarPubMed
McDowell, A. (2004), ‘From the help desk: seemingly unrelated regression with unbalanced equations', The Stata Journal, 4(4):442448.CrossRefGoogle Scholar
OECD (2005), OECD Reviews of Health System Finland.Google Scholar
OECD (2006), ‘Projecting OECD health and long-term expenditures: what are the main drivers?’, Economic Department Working Paper No.47.Google Scholar
Salas, C., and Raftery, J. (2001), ‘Econometric issues in testing the age neutrality of health care expenditure', Health Economics Letters, 10:669671.CrossRefGoogle ScholarPubMed
Seshamani, M., and Gray, A.M. (2004a), ‘Aging and health-care expenditure: the red herring argument revisited', Health Economics, 13(4): 303314.CrossRefGoogle ScholarPubMed
Seshamani, M., and Gray, A.M. (2004b), ‘A longitudinal study of the effects of age and time to death on hospital costs', Journal of Health Economics, 23:217235.CrossRefGoogle ScholarPubMed
Spillman, B.C., and Lubitz, J. (2000), ‘The effect of longevity on spending for acute and long term care', New England Journal of Medicine, 342(19): 14091415.CrossRefGoogle ScholarPubMed
Stakes (2007) ‘Care and services for older people 2005’, Official Statistics of Finland, Social Protection.Google Scholar
Statistics Finland (2004), Population Projection 2004.Google Scholar
Stearns, S.C., and Norton, E.C. (2004), ‘Time to include time to death? The future of health care expenditure?', Health Economics, 13(4):315327.CrossRefGoogle ScholarPubMed
Werblow, A., Felder, S., and Zweifel, P. (2007), ‘Population aging and health care expenditure: a school of “red herrings”', Health Economics, 16:11091126.CrossRefGoogle ScholarPubMed
Yang, Z., Norton, E.C., and Stearns, S.C. (2003), ‘Longevity and health care expenditures: the real reasons older people spend more', Journal of Gerontology, 58:S2S10.CrossRefGoogle ScholarPubMed
Zweifel, P., Felder, S., and Meiers, M. (1999), ‘Aging of population and health care expenditure: a red herring?', Health Economics, 8(6):485496.3.0.CO;2-4>CrossRefGoogle ScholarPubMed
Zweifel, P., Felder, S., and Werblow, A. (2004), ‘Population aging and health care expenditure: new evidence on the “red herring”', Geneva Papers on Risk and Insurance: Issues and Practices, 29(4):653667.Google Scholar